Road Surface Detection via Acoustic and Vibration Sensing
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Solution Overview
Problem
Current environmental models in Advanced Driver Assistance Systems (ADAS) are limited in detecting road conditions such as potholes and uneven surfaces, which are crucial for automated driving, as they cannot accurately sense small or damaged road features using camera, radar, or laser sensors.
Innovation Solution
A method and device that utilize a microphone to sense the sound of wheels rolling on the road and a vertical acceleration sensor to detect vibrations, providing input data for determining the type of road surface, including its quality, which is then used to create a more accurate environmental model for ADAS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera, radar or laser sensors are used for detecting road conditions, then the system can detect visible objects and reflected beams, but it cannot accurately detect small potholes, uneven road surfaces, or completely damaged roads
Solution Approach 1:
The patent combines multiple sensing modalities (acoustic sensors for sound/vibration, tactile sensors for contact feedback, and existing optical sensors) into a unified road condition detection system. This fusion of different sensor types enables the system to detect various road features including small potholes, uneven surfaces, and damaged roads that individual sensor types cannot detect alone, thereby resolving the contradiction between measurement precision and detection versatility
Solution Approach 2:
The patent introduces acoustic sensors and tactile sensors as intermediary detection elements that bridge the gap between optical sensors and road surface conditions. These intermediary sensors convert mechanical road surface characteristics into electrical signals that can be processed by the control unit, enabling detection of road features that are invisible or undetectable to camera, radar, or laser sensors alone
2Measurement precision
If acoustic sensors and tactile sensors are added to detect road conditions, then the environmental model accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent designs the sensor system and control unit to perform multiple functions: acoustic sensors detect both road surface type and pothole presence, tactile sensors provide both vibration and contact information, and the control unit processes all sensor inputs to generate comprehensive environmental models. This multi-functionality reduces the need for separate specialized sensors for each detection task, thereby improving environmental model accuracy while limiting the increase in device complexity
Solution Approach 2:
The control unit automatically processes and integrates data from multiple sensor types without requiring manual intervention or complex external processing systems. The system self-manages the fusion of acoustic, tactile, and optical sensor data to generate environmental models, reducing the overall system complexity despite the addition of multiple sensor types
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the creation of a highly accurate environmental model that enhances the safety and comfort of automated driving by providing detailed information about road types and conditions, supporting systems like Emergency Brake Assist and Adaptive Cruise Control, and improving passenger comfort by adapting suspension settings.
Implementation Method 1
a sound or sounds of a wheel or wheels of the vehicle is sensed respectively are sensed, while the at least one wheel is rolling on the road
Implementation Method 2
a vertical acceleration of the vehicle or parts of it is sensed by means of a vertical acceleration sensor
Data Source
Figure 1~2
Figure 3
AI summary
The invention relates to a method for determining a type of the road (2) on which a vehicle (1) is driving. The method comprises sensing a sound of a wheel (6) of the vehicle (1) which is rolling on the road (2) by means of a microphone (14) and/or sensing a vertical acceleration of the vehicle (1) by means of a vertical acceleration sensor (16) or sensing a suspension of the vehicle (1) by means of a suspension sensor (19) and determining the type of the road (2) on the basis of the sensed sound and/or the sensed acceleration or the sensed suspension. Further, the invention relates to a device (10) for carrying out the aforesaid method.